Instructions to use chcaa/da_dacy_medium_trf_1.0.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use chcaa/da_dacy_medium_trf_1.0.0 with spaCy:
!pip install https://huggingface.co/chcaa/da_dacy_medium_trf_1.0.0/resolve/main/da_dacy_medium_trf_1.0.0-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("da_dacy_medium_trf_1.0.0") # Importing as module. import da_dacy_medium_trf_1.0.0 nlp = da_dacy_medium_trf_1.0.0.load() - Notebooks
- Google Colab
- Kaggle
Download ner/model from chcaa/da_dacy_medium_trf_1.0.0: direct link, hf CLI and curl.
- Browser
- Download file 226 kB
-
https://huggingface.co/chcaa/da_dacy_medium_trf_1.0.0/resolve/main/ner/model
- Command line
-
hf download hf://chcaa/da_dacy_medium_trf_1.0.0/ner/model
-
curl -L -o model https://huggingface.co/chcaa/da_dacy_medium_trf_1.0.0/resolve/main/ner/model
226 kB
- Xet hash:
- 08fd9a00a2b9388fc0187b78adc67581035eb9aaa0c0dc12673a1e0577db64f7
- Size of remote file:
- 226 kB
- SHA256:
- 0293a1fd52c6ab1e0f391e021736fd8868ae4ed6bde5f0a67b788af2cace6936
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.